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Sunday, December 22, 2013

Quantitive Method

REVISED M04_REND6289_10_IM_C04.QXD 5/7/08 2:49 PM pageboy 46 C H A P T E R Regression Models 4 15 9 40 20 25 25 15 35 6 4 16 6 13 9 10 16 TEACHING SUGGESTIONS teaching implication 4.1: Which Is the Independent Variable? We ?nd that students argon oftentimes split about which inconstant is self-supporting and which is dependent in a regress model. For example, in Triple As problem, crystalise which variable is X and which is Y. Emphasize that the dependent variable (Y ) is what we are trying to predict based on the care for of the independent (X) variable. Use examples such as the time essential to select to a store and the distance traveled, the totals number of units change and the sell price of a product, and the cost of a estimator and the central processor speed. Teaching Suggestion 4.2: Statistical Correlation Does not ever so Mean Causality. Students should understand that a high R2 doesnt eer mean genius variable will be a good predictor of th e other. Explain that skirt lengths and wrinkle commercialize prices whitethorn be correlated, but raising one doesnt inevitably mean the other will go up or down.
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An interesting study indicated that, over a 10-year period, the salaries of college professors were passing correlated to the dollar sales volume of pelter beverages (both were really correlated with in?ation). Teaching Suggestion 4.3: put up students a set of selective information and have them while the data and manually draw a line by dint of the data. A discussion of which line is best sack up help them cherish the least squares criterion. Teaching Suggestion 4.4: take on some promiscuously generated values for X and Y (you flush toilet use ergodic number! s from the random number confuse in Chapter 15 or use the RAND function in transcend). Develop a regression line using Excel and discuss the coef?cient of finale and the F-test. Students will see that a regression line can always be developed, but it may not necessarily be useful. Teaching Suggestion 4.5: A discussion of the longsighted formulas and short-cut formulas...If you want to get a bounteous essay, order it on our website: OrderEssay.net

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